Develops and maintains software tools, data systems, dashboards, and automated workflows supporting manufacturing operations, inventory tracking, and reporting in a regulated nuclear environment. Requires 2-6 years of experience with Python, SQL, data pipelines, and dashboard tools.
Salary not listed
On-site2+ YOEDevOps / SRE
About the role
Responsibilities
Manufacturing Systems & Automation
Develop, maintain, and improve software tools and automated workflows that support manufacturing operations
Build scripts, integrations, and system automations to reduce manual work, improve data accuracy, and increase operational visibility
Support manufacturing systems used for production tracking, inventory management, material movement, reporting, and process monitoring
Troubleshoot system issues, workflow failures, user access problems, data discrepancies, and reporting gaps
Support deployment, maintenance, and continuous improvement of internal tools used by operations and technical teams
Inventory & Material Tracking Systems
Maintain and improve systems used to track inventory, materials, equipment status, and operational workflows
Support systems used for nuclear material tracking, ensuring data integrity, traceability, access control, and reliable reporting
Develop automation tools that improve inventory visibility, reduce manual data entry, and support compliant material management
Partner with operations, NMCA, quality, engineering, and IT teams to ensure system changes are controlled, documented, and aligned with operational requirements
Help identify and resolve data quality issues related to material tracking, system records, and operational reporting
Dashboards, Reporting & Data Tools
Build and maintain dashboards, reports, and visualization tools for manufacturing, engineering, quality, and leadership teams
Translate manufacturing and operational data into clear, actionable views of production status, inventory, yield, throughput, and process performance
Automate recurring reports and reduce spreadsheet-based or manual reporting workflows
Work with users to understand reporting needs and develop practical tools that support decision-making
Support development of metrics that improve visibility into manufacturing performance and operational constraints
Data Systems & Integration
Integrate data from manufacturing systems, equipment, databases, spreadsheets, ERP/MRP systems, and other operational sources
Develop and maintain data pipelines, queries, and structured datasets for analysis, reporting, and automation
Improve data reliability, accessibility, and usability across manufacturing and engineering teams
Support data architecture, naming conventions, and documentation practices for manufacturing data
Work with incomplete or evolving data sources and develop practical solutions that improve over time
Compliance, Security & Documentation
Support data integrity, role-based access, change control, and documentation practices for manufacturing systems
Coordinate with IT to ensure tools and systems align with cybersecurity, access control, and company technology requirements
Develop and maintain technical documentation for scripts, workflows, dashboards, integrations, and user-facing tools
Support software quality assurance practices for internal tools and automation workflows
Ensure systems and data practices support audit readiness, traceability, and regulated manufacturing expectations
Cross-Functional Support
Work closely with intelligent manufacturing, operations, engineering, quality, NMCA, EH&S, supply chain, and IT teams
Gather requirements from technical and operational users and translate them into practical software and data solutions
Communicate technical issues, data limitations, system needs, and improvement opportunities clearly to non-software stakeholders
Support troubleshooting and continuous improvement of systems used in day-to-day manufacturing operations
Help build a culture of disciplined, data-driven manufacturing decision-making
Preferred Qualifications
Bachelor’s degree in Computer Science, Software Engineering, Data Science, Cybersecurity, Information Systems, Engineering, or a related technical field
2–6 years of experience in software development, systems automation, data engineering, manufacturing systems, IT systems support, or a related technical role
Strong programming or scripting skills, preferably in Python, SQL, or similar tools
Experience working with SQL databases, data pipelines, APIs, dashboards, and structured data
Experience building reports or dashboards using Power BI, Tableau, Grafana, Plotly, or similar platforms
Experience supporting regulated inventory, material tracking, access-controlled systems, or compliance-sensitive operational software preferred
Familiarity with data integrity, role-based access control, change control, or software quality assurance practices preferred
Ability to troubleshoot software, data, workflow, reporting, and user access issues
Comfort working with incomplete, messy, or evolving data sources in a manufacturing or operational environment
Familiarity with ERP/MRP systems, manufacturing systems, equipment data, sensor data, or industrial systems is a plus
Familiarity with machine learning, statistical modeling, or advanced analytics is a plus
Experience in manufacturing, nuclear, DOE, energy, aerospace, defense, semiconductor, chemical processing, or other technical industries is a plus
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